Browsing Year-2022 by Title

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  • Protein-based in silico models to predict infectious strains of Influenza A 
    Roy, Trinita; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    Influenza A, an infectious viral disease affecting the lungs, is a significant public health concern. It has already caused four pandemics in the past, and some strains are now seasonal. Being zoonotic, the virus is ...
  • A study of meta-learning and transfer learning approaches for clustering of single cell data 
    Munjal, Rishab; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-05)
    Single cell RNA-seq data is an important source for profiling cellular heterogeneity. Clustering is an important step in any single cell pipeline because it allows us to discover unknown cell types.Furthermore,it is possible ...
  • Studying priming and poising of cells 
    Ansari, Ariba; kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    An increase in research and development of single-cell genomics led to various insights into cells and their function, it has become a primary focus of research leading to many great discoveries. RNA velocity is one such ...
  • Transfer learning and consensus clustering-based analysis of single-cell data 
    Joshi, Dinesh; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-06)
    With the rapid development of sequencing technologies, single-cell genomics has become a primary focus of researchers. Through single-cell RNA-sequencing data analysis, it has now become possible to study some fundamental ...

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